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Musculoskeletal pain trajectories of employees working from home during the COVID-19 pandemic

OBJECTIVES: In March 2020, the COVID-19 pandemic necessitated a rapid public health response which included mandatory working from home (WFH) for many employees. This study aimed to identify different trajectories of multisite musculoskeletal pain (MSP) amongst employees WFH during the COVID-19 pand...

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Autores principales: Oakman, Jodi, Neupane, Subas, Kyrönlahti, Saila, Nygård, Clas-Håkan, Lambert, Katrina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175522/
https://www.ncbi.nlm.nih.gov/pubmed/35674803
http://dx.doi.org/10.1007/s00420-022-01885-1
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author Oakman, Jodi
Neupane, Subas
Kyrönlahti, Saila
Nygård, Clas-Håkan
Lambert, Katrina
author_facet Oakman, Jodi
Neupane, Subas
Kyrönlahti, Saila
Nygård, Clas-Håkan
Lambert, Katrina
author_sort Oakman, Jodi
collection PubMed
description OBJECTIVES: In March 2020, the COVID-19 pandemic necessitated a rapid public health response which included mandatory working from home (WFH) for many employees. This study aimed to identify different trajectories of multisite musculoskeletal pain (MSP) amongst employees WFH during the COVID-19 pandemic and examined the influence of work and non-work factors. METHODS: Data from 488 participants (113 males, 372 females and 3 other) involved in the Employees Working from Home (EWFH) study, collected in October 2020, April and November 2021 were analysed. Age was categorised as 18–35 years (n = 121), 36–55 years (n = 289) and 56 years and over (n = 78). Growth Mixture Modelling (GMM) was used to identify latent classes with different growth trajectories of MSP. Age, gender, working hours, domestic living arrangements, workstation comfort and location, and psychosocial working conditions were considered predictors of MSP. Multivariate multinomial logistic regression was used to identify work and non-work variables associated with group membership. RESULTS: Four trajectories of MSP emerged: high stable (36.5%), mid-decrease (29.7%), low stable (22.3%) and rapid increase (11.5%). Decreased workstation comfort (OR 1.98, CI 1.02, 3.85), quantitative demands (OR 1.68, CI 1.09, 2.58), and influence over work (OR 0.78, CI 0.54, 0.98) was associated with being in the high stable trajectory group compared to low stable. Workstation location (OR 3.86, CI 1.19, 12.52) and quantitative work demands (OR 1.44, CI 1.01, 2.47) was associated with the rapid increase group. CONCLUSIONS: Findings from this study offer insights into considerations for reducing MSP in employees WFH. Key considerations include the need for a dedicated workstation, attention to workstation comfort, quantitative work demands, and ensuring employees have influence over their work. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00420-022-01885-1.
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spelling pubmed-91755222022-06-09 Musculoskeletal pain trajectories of employees working from home during the COVID-19 pandemic Oakman, Jodi Neupane, Subas Kyrönlahti, Saila Nygård, Clas-Håkan Lambert, Katrina Int Arch Occup Environ Health Original Article OBJECTIVES: In March 2020, the COVID-19 pandemic necessitated a rapid public health response which included mandatory working from home (WFH) for many employees. This study aimed to identify different trajectories of multisite musculoskeletal pain (MSP) amongst employees WFH during the COVID-19 pandemic and examined the influence of work and non-work factors. METHODS: Data from 488 participants (113 males, 372 females and 3 other) involved in the Employees Working from Home (EWFH) study, collected in October 2020, April and November 2021 were analysed. Age was categorised as 18–35 years (n = 121), 36–55 years (n = 289) and 56 years and over (n = 78). Growth Mixture Modelling (GMM) was used to identify latent classes with different growth trajectories of MSP. Age, gender, working hours, domestic living arrangements, workstation comfort and location, and psychosocial working conditions were considered predictors of MSP. Multivariate multinomial logistic regression was used to identify work and non-work variables associated with group membership. RESULTS: Four trajectories of MSP emerged: high stable (36.5%), mid-decrease (29.7%), low stable (22.3%) and rapid increase (11.5%). Decreased workstation comfort (OR 1.98, CI 1.02, 3.85), quantitative demands (OR 1.68, CI 1.09, 2.58), and influence over work (OR 0.78, CI 0.54, 0.98) was associated with being in the high stable trajectory group compared to low stable. Workstation location (OR 3.86, CI 1.19, 12.52) and quantitative work demands (OR 1.44, CI 1.01, 2.47) was associated with the rapid increase group. CONCLUSIONS: Findings from this study offer insights into considerations for reducing MSP in employees WFH. Key considerations include the need for a dedicated workstation, attention to workstation comfort, quantitative work demands, and ensuring employees have influence over their work. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00420-022-01885-1. Springer Berlin Heidelberg 2022-06-08 2022 /pmc/articles/PMC9175522/ /pubmed/35674803 http://dx.doi.org/10.1007/s00420-022-01885-1 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Oakman, Jodi
Neupane, Subas
Kyrönlahti, Saila
Nygård, Clas-Håkan
Lambert, Katrina
Musculoskeletal pain trajectories of employees working from home during the COVID-19 pandemic
title Musculoskeletal pain trajectories of employees working from home during the COVID-19 pandemic
title_full Musculoskeletal pain trajectories of employees working from home during the COVID-19 pandemic
title_fullStr Musculoskeletal pain trajectories of employees working from home during the COVID-19 pandemic
title_full_unstemmed Musculoskeletal pain trajectories of employees working from home during the COVID-19 pandemic
title_short Musculoskeletal pain trajectories of employees working from home during the COVID-19 pandemic
title_sort musculoskeletal pain trajectories of employees working from home during the covid-19 pandemic
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175522/
https://www.ncbi.nlm.nih.gov/pubmed/35674803
http://dx.doi.org/10.1007/s00420-022-01885-1
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